Estimating population coverage of Tackling Indigenous Smoking teams, a placed-based health intervention in Australia.

OBJECTIVE: As part of the Tackling Indigenous Smoking (TIS) program, TIS teams provide Aboriginal and Torres Strait Islander-led tobacco control in their geographic area. We aimed to estimate the percentage and number of Aboriginal and Torres Strait Islander peoples living in an area serviced by a TIS team in 2018-19. METHODS: We analysed weighted, representative data from 8,048 Aboriginal and Torres Strait Islander people aged ≥10 years from the 2018-19 National Aboriginal and Torres Strait Islander Health Survey. TIS services mapping data were used to define areas served by TIS teams. Coverage was explored in relation to remoteness, program priority groups and sociodemographic characteristics. RESULTS: Around three-quarters (76.4%,95%CI:72.9-79.9) of the 2018-19 population aged ≥10 years lived in an area served by TIS teams (n=479,000). Coverage by TIS teams was generally similar across groups, with few exceptions. CONCLUSIONS: The recently announced expansion to national coverage would provide access to locally tailored tobacco control to a further 148,000 Aboriginal and Torres Strait Islander peoples aged ≥10 years, including 46,000 adults who currently smoke. IMPLICATIONS FOR PUBLIC HEALTH: Expansion to national TIS team coverage is a welcomed first step on the path to ensuring equitable access to tobacco control.

Social determinants of depression among mid-to-older aged Australians: A prospective study of the effects of neighbourhood disadvantage and crime.

Background: Few studies examining social determinants of depression have incorporated area level objectively measured crime combined with self-report measures of perceived crime. How these factors may interrelate with neighbourhood disadvantage is not well understood, particularly in Australia, where mental health disorders are of major concern. This study examined relationships between area-level objective crime, self-reported perceptions of crime, neighbourhood disadvantage and depression, and potential mechanisms by which these variables indirectly lead to depression. Methods: This study used data from the HABITAT Project, a representative longitudinal study of persons aged 40-65 years residing in 200 neighbourhoods in Brisbane, Australia, during 2007-2016. A prospective sample of residentially stable persons who reported depression at two years (n =3120) and five years (n=2249) post-follow-up was developed. Area level objective crimes were categorised as either crimes against the person, social incivilities or unlawful entry. Logistic regression was used to establish relationships with depression, followed by a decomposition analysis to establish potential mechanisms. Results: Neighbourhoods in the highest quartile of crimes against the person had an increased risk of individuals reporting depression at all periods of follow-up. Associations were also found between unlawful entry and depression. Decomposition analysis indicated a positive and significant total effect of crime against the person on depression for all periods of follow-up, while an indirect effect of perceived crime was found to partially explain this relationship at 2-years after baseline (prop. Mediated = 46.5%), and at either or both periods of follow-up (prop. Mediated = 53.7%), but not at 5-years follow-up. Discussion: Neighbourhoods with the highest levels of crime against the person may influence depression over time through a pathway of perceived crime. Perceived crime, particularly in areas of high crime against the person should be considered as part of a multi-faceted strategy aimed at improving population mental health.

The role of geographic information system and global positioning system in dementia care and research: a scoping review.

BACKGROUND: Geographic Information System (GIS) and Global Positioning System (GPS), vital tools for supporting public health research, provide a framework to collect, analyze and visualize the interaction between different levels of the health care system. The extent to which GIS and GPS applications have been used in dementia care and research is not yet investigated. This scoping review aims to elaborate on the role and types of GIS and GPS applications in dementia care and research. METHODS: A scoping review was conducted based on Arksey and O'Malley's framework. All published articles in peer-reviewed journals were searched in PubMed, Scopus, and Web of Science, subject to involving at least one GIS/GPS approach focused on dementia. Eligible studies were reviewed, grouped, and synthesized to identify GIS and GPS applications. The PRISMA standard was used to report the study. RESULTS: Ninety-two studies met our inclusion criteria, and their data were extracted. Six types of GIS/GPS applications had been reported in dementia literature including mapping and surveillance (n = 59), data preparation (n = 26), dementia care provision (n = 18), basic research (n = 18), contextual and risk factor analysis (n = 4), and planning (n = 1). Thematic mapping and GPS were most frequently used techniques in the dementia field. CONCLUSIONS: Even though the applications of GIS/GPS methodologies in dementia care and research are growing, there is limited research on GIS/GPS utilization in dementia care, risk factor analysis, and dementia policy planning. GIS and GPS are space-based systems, so they have a strong capacity for developing innovative research based on spatial analysis in the area of dementia. The existing research has been summarized in this review which could help researchers to know the GIS/GPS capabilities in dementia research.

Geographic variation in and contextual factors related to biguanide adherence amongst medicaid enrolees with type 2 Diabetes Mellitus.

Much is known about the adverse impacts on diabetes outcomes of non-adherence to diabetes medication. Less is known about how adherence to diabetes medication varies geographically, and the correspondence of this variation to social and contextual factors. Using pharmacy claims data over a two-year period, this study analysed non-adherence to biguanide medication for N=24,387 adult Medicaid enrolees diagnosed with Type 2 Diabetes Mellitus (T2DM) and residing in Ohio. Spatial analysis was used to detect clusters of census tract level rates of non-adherence, defined as the proportion of patients below the Proportion Days Covered (PDC) threshold of 80%, the level at which patients have a reasonable likelihood of achieving most clinical benefit from their medication. Multilevel models were used to understand associations between medication non-adherence and contextual factors including social vulnerability, urbanicity and distance to utilised pharmacy, with adjustment for individual-level covariates. These findings indicate that contextual factors are associated with medication non-adherence in Medicaid clients with T2DM. They suggest a need for spatially specific, multifaceted intervention programmes that target and/or account for the features of residential settings beyond individual and health system-level factors alone. While "environmental" considerations are often acknowledged, few intervention initiatives are predicated on explicit knowledge of spatially variable influences that can be targeted to enable and support medication adherence.

Ecological study of playground space and physical activity among primary school children.

OBJECTIVES: To examine the relationship between school playground size and total physical activity (PA), fitness and fundamental movement skills (FMS) of primary school students. DESIGN: Cross-sectional ecological analysis. SETTING: 43 primary schools in New South Wales, Australia. PARTICIPANTS: Data were from 5238 students, aged 5 to 12 years, participating in the Schools Physical Activity and Nutrition Survey. OUTCOME MEASURES: Self (for age ≥11 years) and parent (for age <11 years) report of PA (meeting PA recommendations and number of days meeting recommendations), objectively measured FMS and cardiorespiratory and muscular fitness. RESULTS: Associations between playground space and measures of PA and fitness were mostly non-linear and moderated by loose equipment. Students in schools with no loose equipment showed a weak association between space and meeting PA recommendations (self-report). In schools with equipment, students' predicted probability of meeting PA recommendations increased sharply between 15 m2 and 25 m2 per student from 0.04 (95% CI: 0.01 to 0.08) to 0.30 (95% CI: 0.14 to 0.46), but at 30 m2 returned to levels comparable to students in schools with no equipment (0.18, 95% CI: 0.07 to 0.28). For cardiorespiratory fitness, in schools with no loose equipment, probabilities for being in the healthy cardiovascular fitness zone varied between 0.66 and 0.77, showing no consistent trend. Students in schools with loose equipment had a predicted probability of being in the healthy fitness zone of 0.56 (95% CI: 0.41 to 0.71) at 15 m2 per student, which rose to 0.75 (95% CI: 0.63 to 0.86) at 20 m2 per student. There was no relationship between space and FMS. CONCLUSIONS: School space guidelines need to incorporate sufficient playground space for students. Our study provides evidence supporting better PA outcomes with increasing space up to 25 m2 per student, and access to loose equipment, however further research is required to determine precise thresholds for minimum space. Intersectoral planning and cooperation is required to meet the needs of growing school populations.

Living liveable? RESIDE's evaluation of the "Liveable Neighborhoods" planning policy on the health supportive behaviors and wellbeing of residents in Perth, Western Australia.

BACKGROUND: The RESIDential Environments (RESIDE) project is a unique longitudinal natural experiment designed to evaluate the health impacts of the "Liveable Neighbourhoods" planning policy, which was introduced by the Western Australian government to create more walkable suburbs. OBJECTIVES: To summarize the RESIDE evidence of the impact of the planning policy on a range of health-supportive behaviours and wellbeing outcomes and to assess the consistency and direction of the estimates of associations. METHODS: An audit of 26 RESIDE research papers (from 2003 to 2012) identified the number of positive associations (statistically significant and consistent with policy expectations), negative associations (statistically significant and inconsistent with policy expectations), and null findings from multiple-exposure models between objective and perceived measures of 20 policy design requirements and 13 health-supportive behaviors and wellbeing outcomes. RESULTS: In total 332 eligible estimates of associations (n = 257 objective measures and n = 75 perceived measures) were identified. Positively significant findings were detected for: 57% of walking estimates with objectively measured policy design features (negative = 3%; null = 40%) (n = 115) and 54% perceived measures (negative = 0%; null = 33%) (n = 27); 42% of sense of community estimates with objectively measured of policy design features (negative = 8%; null = 50%) (n = 12) and 61% perceived measures (negative = 8%; null = 31%) (n = 13); 39% of safety or crime-related estimates with objectively measured of policy design features (negative = 22%; null = 39%) (n = 28) and 100% perceived measures (n = 7). All (n = 4) estimates for mental health outcomes with objectively measured policy-related design features were positively significant. CONCLUSIONS: The synthesis of findings suggests that new suburban communities built in accordance with the "Liveable Neighbourhoods" policy have the potential to encourage health supportive behaviors and wellbeing outcomes including transport and recreation walking, and to create neighborhoods with a stronger sense of community where residents may feel safer.

Moving to an active lifestyle? A systematic review of the effects of residential relocation on walking, physical activity and travel behaviour.

OBJECTIVE: To synthesise the literature on the effects of neighbourhood environmental change through residential relocation on physical activity, walking and travel behaviour. DESIGN: Systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PROSPERO registration number CRD42017077681). DATA SOURCES: Electronic databases for peer-reviewed and grey literature were systematically searched to March 2017, followed by forward and backward citation tracking. ELIGIBILITY CRITERIA: A study was eligible for inclusion if it (1) measured changes in neighbourhood built environment attributes as a result of residential relocation (either prospectively or retrospectively); (2) included a measure of physical activity, walking, cycling or travel modal change as an outcome; (3) was quantitative and (4) included an English abstract or summary. RESULTS: A total of 23 studies was included in the review. Among the eight retrospective longitudinal studies, there was good evidence for the relationship between relocation and walking (consistency score (CS)>90%). For the 15 prospective longitudinal studies, the evidence for the effects of environmental change/relocation on physical activity or walking was weak to moderate (CS mostly <45%), even weaker for effects on other outcomes, including physical activity, cycling, public transport use and driving. Results from risk of bias analyses support the robustness of the findings. CONCLUSION: The results are encouraging for the retrospective longitudinal relocation studies, but weaker evidence exists for the methodologically stronger prospective longitudinal relocation studies. The evidence base is currently limited, and continued longitudinal research should extend the plethora of cross-sectional studies to build higher-quality evidence.

Are Measures Derived From Land Use and Transport Policies Associated With Walking for Transport?

BACKGROUND: There is growing urgency for higher quality evidence to inform policy. This study developed geographic information system spatial measures based on land use and transport policies currently used in selected Australian states to assess which, if any, of these measures were associated with walking for transport. METHODS: Overall, 6901 participants from 570 neighborhoods in Brisbane, Australia, were included. Participants reported their minutes of walking for transport in the previous week. After a review of state-level land use and transport policies relevant to walking for transport across Australia, 7 geographic information system measures were developed and tested based on 9 relevant policies. Data were analyzed using multilevel multinomial logistic regression. RESULTS: Greater levels of walking for transport were associated with more highly connected street networks, the presence of public transport stops, and having at least 2 public transport services per hour. Conversely, neighborhoods with shorter cul-de-sac lengths had lower levels of walking for transport. There was no evidence of associations between walking for transport and street block lengths less than 240 m or traffic volumes. CONCLUSIONS: These findings highlight the need for urban design and transport policies developed by governments to be assessed for their impact on transport-related physical activity.

Neighborhood walkability and hospital treatment costs: A first assessment.

Health system expenditure is a global concern, with hospital cost a major component. Built environment has been found to affect physical activity and health outcomes. The purpose of the study was a first assessment of the relationship between neighborhood walkability and hospital treatment costs. For 88 neighborhoods in the Australian Capital Territory (ACT), 2011-2013, a total of 30,690 public hospital admissions for the treatment of four diagnostic groups (cancers, endocrine, nutritional and metabolic diseases, circulatory diseases and respiratory diseases) were extracted from the ACT admitted patient care database and analyzed in relation to the Walk Score® index as a measure of walkability. Hospital cost was calculated according to the cost weight of the diagnosis related group assigned to each admission. Linear regressions were used to analyze the associations of walkability with hospital cost per person, admissions per person and cost per admission at the neighborhood level. An inverse association with neighborhood walkability was found for cost per person and admissions per person, but not cost per admission. After adjusting for age, sex and socioeconomic status, a 20-unit increase in walkability was associated with 12.1% (95% CI: 7.1-17.0%) lower cost and 12.5% (8.1-17.0%) fewer admissions. These associations did not vary by neighborhood socioeconomic status. This exploratory analysis suggests the potential for improved population health and reduced hospital cost with greater neighborhood walkability. Further research should replicate the analysis with data from other urban settings, and focus on the behavioral mechanisms underlying the inverse walkability-hospital cost association.

Is Walk Score associated with hospital admissions from chronic diseases? Evidence from a cross-sectional study in a high socioeconomic status Australian city-state.

OBJECTIVES: To explore patterns of non-communicable diseases (NCDs) in the Australian Capital Territory (ACT).To ascertain the effect of the neighbourhood built environmental features and especially walkability on health outcomes, specifically for hospital admissions from NCDs. DESIGN: A cross-sectional analysis of public hospital episode data (2007-2013). SETTING: Hospitalisations from the ACT, Australia at very small geographic areas. PARTICIPANTS: Secondary data on 75 290 unique hospital episodes representing 39 851 patients who were admitted to ACT hospitals from 2007 to 2013. No restrictions on age, sex or ethnicity. MAIN EXPOSURE MEASURES: Geographic Information System derived or compatible measures of general practitioner access, neighbourhood socioeconomic status, alcohol access, exposure to traffic and Walk Score walkability. MAIN OUTCOME MEASURES: Hospitalisations of circulatory diseases, specific endocrine, nutritional and metabolic diseases, respiratory diseases and specific cancers. RESULTS: Geographic clusters with significant high and low risks of NCDs were found that displayed an overall geographic pattern of high risk in the outlying suburbs of the territory. Significant relationships between neighbourhood walkability as measured by Walk Score and the likelihood of hospitalisation with a primary diagnosis of myocardial infarction (heart attack) were found. A possible relationship was also found with the likelihood of being hospitalised with 4 major lifestyle-related cancers. CONCLUSIONS: Our research augments the growing literature underscoring the relationships between the built environment and health outcomes. In addition, it supports the importance of walkable neighbourhoods, as measured by Walk Score, for improved health.

Reconnecting urban planning with health: a protocol for the development and validation of national liveability indicators associated with noncommunicable disease risk behaviours and health outcomes.

AIM: Liveable communities create the conditions to optimise health and wellbeing outcomes in residents by influencing various social determinants of health - for example, neighbourhood walkability and access to public transport, public open space, local amenities, and social and community facilities. This study will develop national liveability indicators that are (a) aligned with state and federal urban policy, (b) developed using national data (where available), (c) standard and consistent over time, (d) suitable for monitoring progress towards creating more liveable, equitable and sustainable communities, (e) validated against selected noncommunicable disease risk behaviours and/or health outcomes, and (f) practical for measuring local, national and federal built environment interventions. STUDY TYPE: Protocol. METHOD: Over two years, the National Liveability Study, funded through The Australian Prevention Partnership Centre (TAPPC), will develop and validate a national set of spatially derived built environment liveability indicators related to noncommunicable disease risk behaviours and/or health outcomes, informed by a review of relevant policies in selected Australian state and territory governments. To create national indicators, we will compare measures developed using national data with finer-grained state-level data, which have been validated against a range of outcomes. Finally, we will explore the creation of a national database of built environment spatial indicators. RESULTS: A national advisory group comprising stakeholders in state and federal government, federal nongovernment organisations and state-based technical working groups located in the ACT, Victoria, NSW, Queensland and WA has been established; a policy analysis is under way and work programs are being prepared. CONCLUSION: This project seeks to build the capacity for built environment and health systems research by developing national indicators to monitor progress towards creating healthy and liveable communities. This ambition requires multisector engagement and an interdisciplinary research team.

Objective assessment of obesogenic environments in youth: geographic information system methods and spatial findings from the Neighborhood Impact on Kids study.

BACKGROUND: GIS-based walkability measures designed to explain active travel fail to capture "playability" and proximity to healthy food. These constructs should be considered when measuring potential child obesogenic environments. PURPOSE: The aim of this study was to describe the development of GIS-based multicomponent physical activity and nutrition environment indicators of child obesogenic environments in the San Diego and Seattle regions. METHODS: Block group-level walkability (street connectivity, residential density, land-use mix, and retail floor area ratio) measures were constructed in each region. Multiple sources were used to enumerate parks (∼900-1600 per region) and food establishments (∼10,000 per region). Physical activity environments were evaluated on the basis of walkability and presence and quality of parks. Nutrition environments were evaluated based on presence and density of fast-food restaurants and distance to supermarkets. Four neighborhood types were defined using high/low cut points for physical activity and nutrition environments defined through an iterative process dependent on regional counts of fast-food outlets and overall distance to parks and grocery stores from census block groups where youth live. RESULTS: To identify sufficient numbers of children aged 6-11 years, high physical activity environment block groups had at least one high-quality park within 0.25 miles and were above median walkability, whereas low physical activity environment groups had no parks and were below median walkability. High nutrition environment block groups had a supermarket within 0.5 miles, and fewer than 16 (Seattle) and 31 (San Diego) fast-food restaurants within 0.5 miles. Low nutrition environments had either no supermarket, or a supermarket and more than 16 (Seattle) and 31 (San Diego) fast-food restaurants within 0.5 miles. Income, educational attainment, and ethnicity varied across physical activity and nutrition environments. CONCLUSIONS: These approaches to defining neighborhood environments can be used to study physical activity, nutrition, and obesity outcomes. Findings presented in a companion paper validate these GIS methods for measuring obesogenic environments.

School site and the potential to walk to school: the impact of street connectivity and traffic exposure in school neighborhoods.

The impact of neighborhood walkability (based on street connectivity and traffic exposure) within 2 km of public primary schools on children regularly walking to school was examined. The most (n=13) and least walkable (n=12) schools were selected using a school-specific 'walkability' index and a cross sectional study undertaken of Year 5, 6 and 7 children (n=1480) and consenting parents (n=1332). After adjustment, regularly walking to school was higher in children attending schools in high walkable neighborhoods (i.e, high street connectivity and low traffic volume) (Odds ratio (OR) 3.63; 95% Confidence Interval (CI) 2.01-6.56), and less likely in neighborhoods with high connectivity but high traffic volume (OR 0.32; 95% CI 0.22-0.47). Connected street networks provide direct routes to school but when designed for heavy traffic, the potential for children to walk to school is reduced. This highlights the importance of carefully considering school siting and, particularly, street design in school neighborhoods.